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Identification of plant-based hexokinase 2 inhibitors: combined molecular docking and dynamics simulation studies

  • Asifa Khan
  • , Taj Mohammad
  • , Anas Shamsi
  • , Afzal Hussain
  • , Mohamed F. Alajmi
  • , Syed Akhtar Husain
  • , Mohammad Askandar Iqbal
  • , Md Imtaiyaz Hassan
  • Jamia Millia Islamia
  • King Saud University

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

Cancer cells ferment glucose, even under aerobic conditions, following a phenomenon known as the ‘Warburg effect.’ Hexokinase 2 (HK2) catalyzes the crucial step of phosphorylation of glucose for subsequent utilization in glycolysis and other pathways. HK2 has been proposed as a potential therapeutic target for anti-cancer therapy because of its enhanced expression in glucose-dependent tumors. Here, we have employed structure-based virtual screening using in-house library to identify potential phytoconstituents which could inhibit the HK2 activity. The initial hits were selected based on their binding affinity towards HK2 using the molecular docking approach. Subsequently, the filters for physicochemical properties, PAINS patterns and PASS evaluation were applied to find potential hits against HK2. Finally, we have identified epigallocatechin gallate (EGCG) and quercitrin, two natural compounds with appreciable binding affinity, efficiency and specificity towards the HK2 binding pocket. Both compounds were found to be binding preferentially to the HK2 active site and showed a decent set of drug-like properties. All-atom molecular dynamics (MD) simulations for 100 ns were carried out to see the conformational dynamics, complexes stability and interaction mechanism of HK2 with EGCG and quercitrin. MD simulation results showed that HK2 forms stable protein-ligand complexes with EGCG and quercitrin with consistency throughout the trajectory. Overall, these findings suggest that EGCG and quercitrin might be further exploited as promising scaffolds in the drug development process against HK2. Communicated by Ramaswamy H. Sarma.

Original languageEnglish
Pages (from-to)10319-10331
Number of pages13
JournalJournal of Biomolecular Structure and Dynamics
Volume40
Issue number20
DOIs
StatePublished - 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Hexokinase 2
  • epigallocatechin gallate
  • molecular dynamics simulations
  • plant-based compounds
  • quercitrin
  • small molecule inhibitors
  • virtual screening

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